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Director of Artificial Intelligence

Innovatix Technology Partners
locationBedminster, NJ, USA
PublishedPublished: 6/14/2022
Healthcare
Full Time

Job Description

Job Description – Director of Innovation (Artificial Intelligence)

About the Role

We are seeking a visionary and strategic Innovation Director to lead the design, development, and execution of our artificial intelligence (AI) innovation strategy. This executive-level role will be central to shaping the company’s long-term competitive advantage through AI adoption, embedding emerging technologies into products, services, and internal processes.

The Innovation Director will not only drive the development of AI-powered solutions but also serve as a thought leader, change agent, and culture builder. By partnering with leadership, engineering, product, R&D, sales, marketing, and external stakeholders, this role ensures the organization remains at the forefront of AI-driven transformation while maintaining a strong commitment to ethics, governance, and measurable business outcomes.


Key Responsibilities

Strategic Leadership & Vision

  • Define, communicate, and execute a forward-looking AI innovation roadmap, aligned with company strategy and long-term growth objectives.
  • Prioritize high-impact AI opportunities across multiple domains, including product development, customer experience, and operational excellence.
  • Serve as a trusted advisor to the executive team on AI adoption, investment, and risk mitigation.

Technology Scouting & Innovation Pipeline

  • Continuously monitor global AI trends, platforms, and research breakthroughs to identify disruptive opportunities.
  • Lead the evaluation and piloting of new technologies, from generative AI and advanced analytics to automation and decision-support systems.
  • Build scalable frameworks for identifying, testing, and transitioning AI innovations from concept to market-ready solutions.

Execution & Program Leadership

  • Oversee end-to-end delivery of AI initiatives, including architecture, development, deployment, and performance measurement.
  • Establish best practices in MLOps, governance, and responsible AI use.
  • Ensure new solutions deliver measurable ROI and competitive differentiation.

Cross-Functional Collaboration

  • Partner with R&D, product, engineering, and data science teams to embed AI into core offerings.
  • Collaborate with Sales to identify client-specific AI opportunities and co-create solutions that strengthen relationships and drive revenue.
  • Work with Marketing to amplify thought leadership through blogs, articles, speaking engagements, and multimedia content.

Culture & Change Management

  • Cultivate an AI-literate culture across the organization, offering workshops, training, and internal communications to increase adoption and reduce resistance.
  • Act as a “possibility catalyst,” helping teams understand and embrace how AI reshapes workflows, roles, and opportunities.
  • Encourage experimentation, calculated risk-taking, and innovation as core cultural values.

Governance, Ethics & Risk Management

  • Champion responsible AI practices, ensuring fairness, transparency, and compliance with regulatory and ethical standards.
  • Proactively identify and mitigate risks related to data privacy, security, and algorithmic bias.
  • Serve as the company’s voice on ethical AI in both internal policy and external engagements.

External Engagement & Thought Leadership

  • Represent the company in conferences, academic forums, and strategic industry partnerships.
  • Build relationships with research institutions, AI vendors, and government/industry bodies to expand the company’s innovation ecosystem.
  • Position the organization as a recognized leader in AI-driven transformation.

Impact Measurement & Accountability

  • Define success metrics and innovation KPIs that tie directly to business outcomes.
  • Track ROI across AI initiatives and communicate results to the executive team and key stakeholders.
  • Continuously refine strategies based on data, lessons learned, and evolving market conditions.


Qualifications

  • Master’s degree or PhD in Artificial Intelligence, Computer Science, Data Science, or related field; MBA or equivalent executive degree strongly preferred.
  • 10+ years of progressive leadership experience in innovation, AI/ML strategy, or product development.
  • Proven track record of delivering AI solutions at scale, from ideation through deployment and commercialization.
  • Deep expertise in AI architectures (e.g., transformers, generative models), ML frameworks, and modern infrastructure for AI/ML workloads.
  • Demonstrated knowledge of responsible AI frameworks, model bias mitigation, and regulatory compliance.
  • Exceptional executive presence, communication, and stakeholder management skills, with the ability to influence technical and non-technical audiences.
  • Recognized as a thought leader through publications, patents, speaking engagements, or community leadership.
  • Entrepreneurial mindset with experience driving innovation in startups, scale-ups, or fast-evolving business environments.


What We Offer

  • A leadership role with significant influence on company strategy and market positioning.
  • The opportunity to shape the direction of AI innovation in a dynamic and growth-oriented environment.
  • Autonomy to launch pilots, build partnerships, and scale new solutions across the business.
  • Access to advanced AI infrastructure, tools, and global partnerships.
  • Professional development opportunities, including executive education, industry conferences, and leadership forums.
  • A collaborative culture that values creativity, experimentation, and ethical innovation.

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